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metadata
title: FakeDetect
emoji: π
colorFrom: purple
colorTo: red
sdk: docker
pinned: false
license: mit
short_description: A minimal Node.js + Gemini-powered web app to analyze text.
π΅οΈ FakeDetect - OSINT Intelligence Analyzer
FakeDetect is a real-time Open Source Intelligence (OSINT) web application that uses Google Gemini AI to analyze and visualize multilingual social media and news content.
β¨ Features
- π§ AI-powered content interpretation using Gemini 1.5 Flash
- π Sentiment analysis (positive / neutral / negative breakdown)
- π Network influence graph for user/entity clustering
- π Structured report output (JSON + HTML)
- πΎ Exportable report as modern dark-mode HTML
- π¬ Multilingual support (EN, DE, ES, FR, RU)
π§ Tech Stack
- Frontend: HTML + TailwindCSS
- Backend: Node.js (Express) + Python (matplotlib, networkx)
- AI: Google Generative AI (Gemini)
- Deployment: Hugging Face Spaces (Docker SDK)
π Quick Start (Docker)
git clone https://github.com/Basti-devel/fakedetect.git
cd fakedetect
# Build the container
docker build -t fakedetect .
# Run the app
docker run -p 7860:7860 fakedetect
Access the app at: http://localhost:7860
π Project Structure
βββ app.js # Node.js backend (Express)
βββ render_report.py # Python rendering (charts + HTML)
βββ index.html # Frontend interface
βββ osint_dark_template.html # Dark HTML template for reports
βββ requirements.txt # Python dependencies
βββ package.json # Node dependencies
βββ space.yaml # Hugging Face Space config
βββ Dockerfile # Unified deployment container
βββ /tmp # Runtime output directory
π‘ Ethics & Compliance
FakeDetect adheres to:
- π GDPR and digital privacy principles
- ποΈ Journalistic ethics and OSINT standards
- π Avoids speculative conclusions, hate speech, or bias
π§ Sample Use Cases
- π Investigative journalism
- π‘ NGO threat reporting
- π§΅ Telegram/Reddit sentiment tracking
- π§Ύ Misinformation early detection
Β© 2025 FakeDetect by Sebastian Friedrich Nestler. Built with β€οΈ for responsible intelligence analysis.